A comprehensive guide explaining how to optimize and scale Large Language Models (LLMs) on TPU systems, covering everything from hardware architecture to practical implementation in JAX. The book breaks down complex topics like model parallelism, training efficiency, and inference optimization, making it valuable for both researchers designing architectures and engineers focused on performance.
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